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As a Full-Stack Monitoring & AIOps Engineer, you will manage expectations between HPE and ANL regarding responsibilities, diagnose HPC fabric issues, develop integrated software algorithms for data analysis and monitoring, leverage machine learning for performance improvements, and document installation procedures and performance metrics.
The Palantir/AI Use Case Developer will develop data solutions by creating data pipelines, managing data objects, analyzing data, and building machine learning models. Responsibilities include translating business requirements into technical solutions while collaborating with data scientists and product owners.
The Sr. Full-Stack Developer will architect and develop large scale enterprise applications, primarily using React.js and Next.js for the front end, and MySQL for the backend. The role includes collaborating with a team to innovate technologies for better efficiency, while also incorporating APIs and managing continuous integration/deployment on AWS.
The role involves designing, developing, and implementing machine learning models and AI algorithms to solve complex business problems. Responsibilities include integrating AI solutions, collaborating with engineering teams, and optimizing systems for improved performance and user experience.
The Senior Software Engineer will design and implement custom software solutions for AI initiatives, collaborate with teams on software applications, analyze complex problems, and stay updated on AI technologies. They will work in an agile environment to deliver functional products rapidly.
The AI Software Developer is responsible for researching, designing, and building AI/ML solutions. Key tasks include developing applications and APIs, integrating AI/ML technologies, and collaborating with teams to identify integration opportunities while improving AI/ML model functionality.
As a Senior Software Engineer, you will manage projects supporting U.S. DHS initiatives, collaborate with experts, participate in AI technology efforts, and provide analytical support while ensuring compliance with guidelines. A strong focus on full-stack development and cloud services is necessary, along with expertise in multiple programming languages.
The AI Optimization Engineer will build machine learning workflows and infrastructure for productizing AI models, preparing data for ML models, enabling continuous delivery and automation of ML pipelines, and sustaining AI productization platforms.
Featured Jobs
The Solution Architect for Applied AI will design and architect AI solutions for clients, support sales with technical expertise, consult on platform capabilities, and develop technical documentation.
As a Data Engineer, you will prepare data for AI applications through ETL processes, ensuring data quality, cleansing, and compliance while developing data pipelines for model training and deployment.
The Full Stack Developer - Applied AI will create back-end services and APIs, develop front-end user interfaces, and integrate data sources for AI applications. Responsibilities include ensuring software scalability and efficiency while collaborating with architects and team members.
As a Front-End Developer, you will create user-friendly interfaces for AI applications, collaborating with designers to ensure consistency and optimizing applications for speed and scalability.
As a Senior AI Engineer at Foresite Labs, you will develop AI-driven applications, integrating both structured and unstructured data focused on biotech challenges. Responsibilities include end-to-end development, method selection, and collaboration with engineering teams while deepening your understanding of biology and drug development.
As a Staff AI Full-Stack Engineer at Pulley, you'll leverage AI/ML technologies and LLMs to drive product development and create tools that enhance efficiency. Collaborating with cross-functional teams, you'll prototype AI solutions that align with the company's strategic vision, ensuring impactful contributions to both internal stakeholders and customers.
Design, implement and maintain gameplay-related systems and tools. In-depth cooperation with planning, art, and procedures. Write clear, maintainable, and efficient code. Performance analysis and optimization code. Test and document code.
As a Senior Gameplay Programmer AI at HoYoverse, you will collaborate with designers to develop gameplay systems, APIs, and features in Unreal Engine. Your responsibilities include designing and maintaining gameplay systems, optimizing performance, and ensuring clear documentation of your code.
As a Principal Software Engineer specializing in AI/ML, you will develop innovative ML solutions for document processing and search in the commercial real estate sector. You'll build robust ML pipelines, lead integrations of ML models, and work closely with cross-functional teams to enhance the customer experience while ensuring high-quality standards for data annotation and model performance.
As an Applied AI Product Engineer, you'll develop LLM solutions for enterprise customers, collaborate with teams to integrate AI systems, create demonstrations of capabilities, and support onboarding while maintaining high safety standards.
The AI Research Engineer will design and build machine learning pipelines for robotics, stay updated on the latest ML research, collaborate with teams to integrate AI models into robotic applications, and work in a dynamic team environment.
As an AI Research Scientist, you will advance AI/ML algorithms for robotics, integrate solutions into robotic applications, and publish research findings. The role requires collaboration with cross-functional teams and focuses on innovation in AI technologies for autonomous robots.
As an AI Research Engineer, you will optimize large language models (LLMs) to ensure they are performant, scalable, and cost-efficient. You will collaborate with a team to implement cutting-edge AI inference engines and make high-impact decisions for the company's future.
As an AI Data Architect, you will design and optimize AI systems, ensuring they are robust and scalable. You'll lead the development of AI-driven products, collaborate with teams to understand requirements, and provide technical leadership. Staying updated on AI advancements and integrating third-party technologies are key aspects of this role.
As a Principal AI/ML Engineer at Oleria, you will deploy AI/ML models in production within AWS environments, collaborate with engineering teams, and innovate in identity security solutions, focusing on threat detection and vulnerability assessment through advanced machine learning techniques.
The Staff Software Engineer will be responsible for developing front-end and back-end solutions, building products from scratch, and analyzing data trends to inform product decisions. They will collaborate with international teams and prioritize customer satisfaction within a culture of innovation.
The AI Solution Architect will engage with customers post-sales to implement enterprise AI solutions, drive architecture discussions, design scalable solutions, and support production AI application processes. This role requires collaboration with engineering teams and a focus on enhancing product offerings based on customer feedback.
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